Quantum-Enhanced Probabilistic Graph Embedding via Entanglement-Based Routing

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum-enhanced probabilistic graph embedding aims to revolutionize graph analysis by leveraging quantum entanglement to generate embeddings that capture complex structure and relationships more effectively than classical methods. This paper presents a novel approach that utilizes quantum entanglement to create entangled graphs, enabling efficient exploration of graph connectivity and potential relationships. The core mechanism involves establishing entangled graphs for rapid exploration and, subsequently, utilizing entanglement-based routing to guide the discovery of intricate graph patterns. The paper explores the potential of this method to uncover hidden structures and relationships in large datasets, offering a significant advancement over existing techniques.

DOI: 10.5281/zenodo.22602460

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